Mobile charging vehicle path planning algorithm based on one-to-many charging technology

A mobile charging and path planning technology, applied in advanced technology, sustainable communication technology, computing, etc., can solve the problems of uncontrollable instability, high manpower and material cost, and inability to compensate node energy, etc., so as to reduce the charging path length, reduce charging cost, and save charging time

Active Publication Date: 2019-03-22
HOHAI UNIV CHANGZHOU
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Problems solved by technology

The energy-saving scheme can reduce the energy consumption of sensor nodes through sleep scheduling, low-power MAC (Media Access Control) protocol, mobile base station, data fusion, etc., but it cannot compensate the energy consumed by nodes, and sacrifices certain network performance, such as Increase communication delay, reduce transmission reliability, etc.; the manual replacement battery solution is only suitable for small-scale sensor networks with accessible nodes. There a

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  • Mobile charging vehicle path planning algorithm based on one-to-many charging technology
  • Mobile charging vehicle path planning algorithm based on one-to-many charging technology
  • Mobile charging vehicle path planning algorithm based on one-to-many charging technology

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[0028] In order to enable those skilled in the art to better understand the technical solutions in the application, the technical solutions in the embodiments of the application are clearly and completely described below. Obviously, the described embodiments are only part of the embodiments of the application, and Not all examples. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0029] A mobile charging vehicle path planning algorithm based on single-to-many charging technology, the specific steps are as follows:

[0030] Step 1: Given a sensor node set N, each node N in the sensor node set N i There exists a corresponding N i C is the center of the circle and the charging range R of the mobile charging car is the radius C i , these circles form a set C. The mobile charging vehicle starts from the service station node...

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Abstract

The invention discloses a mobile charging vehicle path planning algorithm based on a one-to-many charging technology. All one-to-many charging stop points are selected through a stop point selection algorithm of multiple sensor nodes in the intersected charging range; all one-to-one charging stop points are selected through a stop point selection algorithm of isolated sensor nodes; the one-to-manystop points and the one-to-one stop points jointly form a stop point set of a mobile charging vehicle; and a shortest charging path of the mobile charging vehicle is a shortest Hamilton loop obtainedby traversing all the stop points by taking service station nodes as starting and ending nodes. According to the mobile charging vehicle path planning algorithm, the charting time is shortened, the driving path of the mobile charging vehicle is shortened, the driving energy consumption is reduced, and the charging efficiency and the charging planning extensibility are improved.

Description

technical field [0001] The invention relates to a path planning algorithm for a mobile charging vehicle based on a single-to-many charging technology, and belongs to the field of charging planning of a wireless rechargeable sensor network. Background technique [0002] Sensor nodes are small in size and carry limited battery power, and there is generally an imbalance in energy consumption of nodes in sensor networks. Therefore, the energy problem has become an important performance bottleneck to be overcome in the actual deployment and application of wireless sensor networks. At present, there are mainly four solutions to the energy problem in sensor networks, namely, energy-saving solutions, manual battery replacement solutions, energy harvesting technology, and wireless charging technology. The energy-saving scheme can reduce the energy consumption of sensor nodes through sleep scheduling, low-power MAC (Media Access Control) protocol, mobile base station, data fusion, et...

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Application Information

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IPC IPC(8): H04W40/02H04W40/10H04W84/18H04B5/00G06Q10/04
CPCB60L2240/72G06Q10/047H04B5/0037H04W40/02H04W40/10H04W84/18Y02D30/70
Inventor 张帆张杰钱玉洁
Owner HOHAI UNIV CHANGZHOU
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